Smart “Predict, then Optimize”
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DOI: 10.1287/mnsc.2020.3922
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- Koen W. de Bock & Kristof Coussement & Arno De Caigny & Roman Slowiński & Bart Baesens & Robert N Boute & Tsan-Ming Choi & Dursun Delen & Mathias Kraus & Stefan Lessmann & Sebastián Maldonado & David , 2023. "Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda," Post-Print hal-04219546, HAL.
- Estey, Clayton, 2024. "Robust Bellman State Prediction with Learning and Model Preferences," OSF Preprints 75fc9, Center for Open Science.
- Ali Shirali & Rediet Abebe & Moritz Hardt, 2024. "Allocation Requires Prediction Only if Inequality Is Low," Papers 2406.13882, arXiv.org.
- Jianyuan Zhong & Zhijian Xu & Saizhuo Wang & Xiangyu Wen & Jian Guo & Qiang Xu, 2024. "DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction," Papers 2405.15833, arXiv.org.
- Jianming Pan & Zeqi Ye & Xiao Yang & Xu Yang & Weiqing Liu & Lewen Wang & Jiang Bian, 2024. "BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning," Papers 2411.19285, arXiv.org, revised Dec 2024.
- Notz, Pascal M. & Pibernik, Richard, 2024. "Explainable subgradient tree boosting for prescriptive analytics in operations management," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1119-1133.
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Keywords
prescriptive analytics; data-driven optimization; machine learning; linear regression;All these keywords.
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